Artificial Intelligence Medical Compendium

Explore the latest research on artificial intelligence and machine learning in medicine.

Showing 60,521 to 60,530 of 228,072 articles

NiMark: A Non-intrusive Watermarking Framework against Screen-shooting Attacks

arXiv Jan 17, 2026
Unauthorized screen-shooting poses a critical data leakage risk. Resisting screen-shooting attacks typically requires high-strength watermark embedding, inevitably degrading the cover image. To resolve the robustness-fidelity conflict, non-intrusive ... read more 
Image and Video Processing cs.MM

Structural Graph Neural Networks with Anatomical Priors for Explainable Chest X-ray Diagnosis

arXiv Jan 17, 2026
We present a structural graph reasoning framework that incorporates explicit anatomical priors for explainable vision-based diagnosis. Convolutional feature maps are reinterpreted as patch-level graphs, where nodes encode both appearance and spatial ... read more 
Computer Vision and Pattern Recognition

Kernel-Based Learning of Safety Barriers

arXiv Jan 17, 2026
The rapid integration of AI algorithms in safety-critical applications such as autonomous driving and healthcare is raising significant concerns about the ability to meet stringent safety standards. Traditional tools for formal safety verification st... read more 
Artificial Intelligence cs.LG eess.SY

SMc2f: Robust Scenario Mining for Robotic Autonomy from Coarse to Fine

arXiv Jan 17, 2026
The safety validation of autonomous robotic vehicles hinges on systematically testing their planning and control stacks against rare, safety-critical scenarios. Mining these long-tail events from massive real-world driving logs is therefore a critica... read more 
Computer Vision and Pattern Recognition

SAR-Based Marine Oil Spill Detection Using the DeepSegFusion Architecture

arXiv Jan 17, 2026
Detection of oil spills from satellite images is essential for both environmental surveillance and maritime safety. Traditional threshold-based methods frequently encounter performance degradation due to very high false alarm rates caused by look-ali... read more 
Computer Vision and Pattern Recognition

DIAMOND-SSS: Diffusion-Augmented Multi-View Optimization for Data-efficient SubSurface Scattering

arXiv Jan 17, 2026
Subsurface scattering (SSS) gives translucent materials -- such as wax, jade, marble, and skin -- their characteristic soft shadows, color bleeding, and diffuse glow. Modeling these effects in neural rendering remains challenging due to complex light... read more 
Computer Vision and Pattern Recognition

A Unified Masked Jigsaw Puzzle Framework for Vision and Language Models

arXiv Jan 17, 2026
In federated learning, Transformer, as a popular architecture, faces critical challenges in defending against gradient attacks and improving model performance in both Computer Vision (CV) and Natural Language Processing (NLP) tasks. It has been revea... read more 
Computer Vision and Pattern Recognition

Automating Parameter Selection in Deep Image Prior for Fluorescence Microscopy Image Denoising via Similarity-Based Parameter Transfer

arXiv Jan 17, 2026
Unsupervised deep image prior (DIP) addresses shortcomings of training data requirements and limited generalization associated with supervised deep learning. The performance of DIP depends on the network architecture and the stopping point of its ite... read more 
Computer Vision and Pattern Recognition cs.AI cs.LG

ARMARecon: An ARMA Convolutional Filter based Graph Neural Network for Neurodegenerative Dementias Classification

arXiv Jan 17, 2026
Early detection of neurodegenerative diseases such as Alzheimer's Disease (AD) and Frontotemporal Dementia (FTD) is essential for reducing the risk of progression to severe disease stages. As AD and FTD propagate along white-matter regions in a globa... read more 
Computer Vision and Pattern Recognition

Bridging the Gap in Bangla Healthcare: Machine Learning Based Disease Prediction Using a Symptoms-Disease Dataset

arXiv Jan 17, 2026
Increased access to reliable health information is essential for non-English-speaking populations, yet resources in Bangla for disease prediction remain limited. This study addresses this gap by developing a comprehensive Bangla symptoms-disease data... read more 
Computation and Language cs.AI
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